THE INTEGRATION OF AI IN DOCTORAL-LEVEL RESEARCH by Alexander Ștefan POPA

“…This study explores how AI affects doctoral research, with particular attention to its methodological and analytical contributions – ranging from automated legal text analysis to sophisticated document handling and pattern recognition using natural language tools. …”
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Text Select-Backdoor: Selective Backdoor Attack for Text Recognition Systems by Hyun Kwon, Jang-Woon Baek

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Implementation of a hierarchical cluster model to analyze wind and solar availability in the department of Antioquia, Colombia by Alejandro Restrepo Román, Didier J. Villegas, Carolina Rodriguez, Adrián Cogollo, Iván D. Bedoya, Andres A. Amell Arrieta

“…This research presents a systematic spatiotemporal assessment of solar radiation and wind speed patterns throughout the Department of Antioquia, Colombia, employing advanced machine learning methodologies to evaluate renewable resource potential. …”
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Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review by José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, Eduardo Maio, Eduardo Maio, Eduardo Maio, Pedro Afonso, Pedro Afonso, Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, Guilherme F. Machado, Guilherme F. Machado, Ryland Morgans, Tiago M. Barbosa, Tiago M. Barbosa, António M. Monteiro, António M. Monteiro, Pedro Forte, Pedro Forte, Pedro Forte, Ricardo Ferraz, Ricardo Ferraz, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho

“…This systematic review aims to examine and map out the current state of research on AI-based tactical behavior, collective dynamics, and movement patterns in football. A total of 2,548 articles were identified following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and the Population-Intervention-Comparators-Outcomes framework. …”
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A Dynamic Monitoring Framework for Spring Low-Temperature Disasters Affecting Winter Wheat: Exploring Environmental Coercion and Mitigation Mechanisms by Meixuan Li, Zhiguo Huo, Qianchuan Mi, Lei Zhang, Jianying Yang, Fengyin Zhang, Rui Kong, Yi Wang, Yuxin Huo

“…Subsequently, using the XGBoost algorithm to analyze the differences between spring frost and cold damage patterns, a model for identifying types of spring LTDs was developed. …”
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Prospects for the use of artificial neural networks for problem solving in clinical transplantation by R. M. Kurabekova, A. A. Belchenkov, O. P. Shevchenko

“…Machine learning technologies are based on the concept of a machine that mimics human intelligence and and makes it possible to identify patterns that are inaccessible to traditional methods. …”
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Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification by Sabrina Napoletano, David Dannhauser, Paolo Antonio Netti, Filippo Causa

“…In this study, we present a comprehensive integrative approach that utilizes transcriptomic data from lung, breast, and melanoma cancer cell lines to identify specific expression patterns. By combining bioinformatics, dimensionality reduction techniques, machine learning, and experimental validation, we pinpoint miRNAs linked to critical biological pathways. …”
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Data mining techniques for the study of online learning from an extended approach by José Manuel Sánchez-Sordo

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AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices by Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios

“…Artificial intelligence (AI), with its capabilities in advanced data analysis, pattern recognition, and adaptive responses, is revolutionizing fields like healthcare, industrial automation, and smart infrastructure. …”
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Polytrauma: Definition of the Problem and Management Strategy (Review) by A. A. Prokazyuk, M. A. Zhanaspaev, S. K. Aubakirova, A. S. Musabekov, A. S. Tlemisov

“…Based on the data of 93 selected publications, we studied the mortality trends in the trauma and main causes of lethal outcomes, analyzed the polytrauma severity scales and determined their potential flaws, examined the guidelines for choosing the orthosurgical strategy according to the severity of the patient’s condition.Results. The pattern of mortality trends in trauma directly depends on the adequacy of severity assessment and the quality of medical care. …”
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A comparative study of methods for dynamic survival analysis by Wieske K. de Swart, Marco Loog, Jesse H. Krijthe, Jesse H. Krijthe

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Artificial Intelligence: The Latest Advances in the Diagnosis of Bladder Cancer by Satyendra Singh, Ram Mohan Shukla

“…AI systems can analyze vast amounts of data from various sources, such as medical imaging, genomic data, and electronic health records, enabling the identification of subtle patterns and biomarkers that may indicate the presence of bladder cancer. …”
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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

“…These intervals capture key patterns, enhancing adaptability and insight. To improve robustness, we incorporate outranking measures, which reduce the impact of noise and uncertainty through pairwise comparisons of alternatives across features. …”
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Investigating the Temporal Sensitivity of Upper Ocean Salinity to Global Water Cycle Changes With Unsupervised Learning by Chao Liu, Xinfeng Liang, Rui M. Ponte

“…Abstract The response of ocean salinity to surface freshwater fluxes exhibits complex spatial and temporal patterns, making it challenging to pinpoint where and when freshwater flux dominates salinity variability. …”
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An AI‐Enabled Data Processing Pipeline for Ingesting Borehole Data in Peridotite Environments by John M. Aiken, Elliot Dufornet, Hamed Amiri, Lotta Ternieten, Oliver Plümper

“…This paper aims to establish a repeatable and efficient pattern for processing such multifaceted data from the well. …”
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Application of artificial intelligence in electrochemical diagnostics for human health by Koushlesh Ranjan, Basanti Barar, Minakshi Prasad, Gaya Prasad

“…The AI-powered systems can easily identify the specific patterns within the electrochemical signals that otherwise remain undetectable by traditional methods. …”
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Research on noise prediction methods for sound barriers based on the integration of conditional generative adversarial networks and numerical methods by Qian Hu, Ziyu Cui, Hongxue Liu, Senhao Zhong

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A Deep Learning-Based Prediction and Forecasting of Tomato Prices for the Cape Town Fresh Produce Market: A Model Comparative Analysis by Emmanuel Ekene Okere, Vipin Balyan

“…Vegetable market pricing is subject to a myriad of complex influences, resulting in nonlinear patterns that conventional time series methodologies often struggle to decode. …”
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Deciphering algorithmic collusion: Insights from bandit algorithms and implications for antitrust enforcement by Frédéric Marty, Thierry Warin

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Implementation of Generative Artificial Intelligence in Sociological Research by V. E. Drach, Yu. V. Torkunova

“…The results of the study demonstrate that the use of GAI allows for significantly accelerating the data processing process and enhancing the quality of the data. New patterns and trends in sociological research have been identified, enabling researchers to draw more accurate and justified conclusions. …”
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